Mercurial > ift6266
annotate datasets/dsetiter.py @ 647:47af8a002530 tip
changed Theano to ift6266 and remove numpy as we do not use code from numpy in this repository
author | Razvan Pascanu <r.pascanu@gmail.com> |
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date | Wed, 17 Oct 2012 09:26:14 -0400 |
parents | 1adfafdc3d57 |
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rev | line source |
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180
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1 import numpy |
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2 |
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3 class DummyFile(object): |
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4 def __init__(self, size, shape=()): |
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5 self.size = size |
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6 self.shape = shape |
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7 |
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8 def read(self, num): |
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9 if num > self.size: |
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10 num = self.size |
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11 self.size -= num |
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12 return numpy.zeros((num,)+self.shape) |
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13 |
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14 class DataIterator(object): |
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15 |
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16 def __init__(self, files, batchsize, bufsize=None): |
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17 r""" |
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18 Makes an iterator which will read examples from `files` |
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19 and return them in `batchsize` lots. |
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20 |
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21 Parameters: |
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22 files -- list of numpy readers |
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23 batchsize -- (int) the size of returned batches |
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24 bufsize -- (int, default=None) internal read buffer size. |
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25 |
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26 Tests: |
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27 >>> d = DataIterator([DummyFile(930)], 10, 100) |
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28 >>> d.batchsize |
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29 10 |
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30 >>> d.bufsize |
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31 100 |
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32 >>> d = DataIterator([DummyFile(1)], 10) |
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33 >>> d.batchsize |
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34 10 |
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35 >>> d.bufsize |
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36 10000 |
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37 >>> d = DataIterator([DummyFile(1)], 99) |
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38 >>> d.batchsize |
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39 99 |
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40 >>> d.bufsize |
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41 9999 |
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42 >>> d = DataIterator([DummyFile(1)], 10, 121) |
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43 >>> d.batchsize |
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44 10 |
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45 >>> d.bufsize |
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46 120 |
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47 >>> d = DataIterator([DummyFile(1)], 10, 1) |
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48 >>> d.batchsize |
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49 10 |
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50 >>> d.bufsize |
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51 10 |
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52 >>> d = DataIterator([DummyFile(1)], 2000) |
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53 >>> d.batchsize |
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54 2000 |
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55 >>> d.bufsize |
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56 20000 |
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57 >>> d = DataIterator([DummyFile(1)], 2000, 31254) |
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58 >>> d.batchsize |
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59 2000 |
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60 >>> d.bufsize |
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61 30000 |
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62 >>> d = DataIterator([DummyFile(1)], 2000, 10) |
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63 >>> d.batchsize |
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64 2000 |
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65 >>> d.bufsize |
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66 2000 |
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67 """ |
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68 self.batchsize = batchsize |
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69 if bufsize is None: |
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70 self.bufsize = max(10*batchsize, 10000) |
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71 else: |
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72 self.bufsize = bufsize |
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73 self.bufsize -= self.bufsize % self.batchsize |
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74 if self.bufsize < self.batchsize: |
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75 self.bufsize = self.batchsize |
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76 self.files = iter(files) |
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77 self.curfile = self.files.next() |
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78 self.empty = False |
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79 self._fill_buf() |
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80 |
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81 def _fill_buf(self): |
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82 r""" |
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83 Fill the internal buffer. |
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84 |
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85 Will fill across files in case the current one runs out. |
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86 |
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87 Test: |
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88 >>> d = DataIterator([DummyFile(20, (3,2))], 10, 10) |
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89 >>> d._fill_buf() |
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90 >>> d.curpos |
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91 0 |
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92 >>> len(d.buffer) |
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93 10 |
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94 >>> d = DataIterator([DummyFile(11, (3,2)), DummyFile(9, (3,2))], 10, 10) |
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95 >>> d._fill_buf() |
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96 >>> len(d.buffer) |
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97 10 |
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98 >>> d._fill_buf() |
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99 Traceback (most recent call last): |
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100 ... |
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101 StopIteration |
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102 >>> d = DataIterator([DummyFile(10, (3,2)), DummyFile(9, (3,2))], 10, 10) |
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103 >>> d._fill_buf() |
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104 >>> len(d.buffer) |
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105 9 |
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106 >>> d._fill_buf() |
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107 Traceback (most recent call last): |
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108 ... |
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109 StopIteration |
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110 >>> d = DataIterator([DummyFile(20)], 10, 10) |
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111 >>> d._fill_buf() |
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112 >>> d.curpos |
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113 0 |
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114 >>> len(d.buffer) |
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115 10 |
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116 >>> d = DataIterator([DummyFile(11), DummyFile(9)], 10, 10) |
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117 >>> d._fill_buf() |
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118 >>> len(d.buffer) |
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119 10 |
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120 >>> d._fill_buf() |
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121 Traceback (most recent call last): |
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122 ... |
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123 StopIteration |
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124 >>> d = DataIterator([DummyFile(10), DummyFile(9)], 10, 10) |
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125 >>> d._fill_buf() |
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126 >>> len(d.buffer) |
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127 9 |
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128 >>> d._fill_buf() |
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129 Traceback (most recent call last): |
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130 ... |
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131 StopIteration |
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132 """ |
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133 self.buffer = None |
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134 if self.empty: |
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135 raise StopIteration |
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136 buf = self.curfile.read(self.bufsize) |
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137 |
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138 while len(buf) < self.bufsize: |
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139 try: |
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140 self.curfile = self.files.next() |
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141 except StopIteration: |
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142 self.empty = True |
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143 if len(buf) == 0: |
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144 raise |
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145 break |
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146 tmpbuf = self.curfile.read(self.bufsize - len(buf)) |
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147 buf = numpy.concatenate([buf, tmpbuf], axis=0) |
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148 |
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149 self.cursize = len(buf) |
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150 self.buffer = buf |
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151 self.curpos = 0 |
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152 |
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153 def __next__(self): |
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154 r""" |
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155 Returns the next portion of the dataset. |
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156 |
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157 Test: |
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158 >>> d = DataIterator([DummyFile(20)], 10, 20) |
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159 >>> len(d.next()) |
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160 10 |
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161 >>> len(d.next()) |
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162 10 |
163
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163 >>> d.next() |
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164 Traceback (most recent call last): |
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165 ... |
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166 StopIteration |
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167 >>> d.next() |
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168 Traceback (most recent call last): |
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169 ... |
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170 StopIteration |
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171 >>> d = DataIterator([DummyFile(13)], 10, 50) |
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172 >>> len(d.next()) |
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173 10 |
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174 >>> len(d.next()) |
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175 3 |
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176 >>> d.next() |
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177 Traceback (most recent call last): |
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178 ... |
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179 StopIteration |
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180 """ |
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181 if self.curpos >= self.cursize: |
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182 self._fill_buf() |
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183 res = self.buffer[self.curpos:self.curpos+self.batchsize] |
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184 self.curpos += self.batchsize |
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185 return res |
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186 |
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187 next = __next__ |
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188 |
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189 def __iter__(self): |
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190 return self |